Summer Sale Special 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: ex2p65

Exact2Pass Menu

Question # 4

You plan to deploy an Azure Machine Learning model as a service that will be used by client applications.

Which three processes should you perform in sequence before you deploy the model? To answer, move the appropriate processes from the list of processes to the answer area and arrange them in the correct order.

Full Access
Question # 5

You need to scan the news for articles about your customers and alert employees when there is a negative article. Positive articles must be added to a press book.

Which natural language processing tasks should you use to complete the process? To answer, drag the appropriate tasks to the correct locations. Each task may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

Full Access
Question # 6

To complete the sentence, select the appropriate option in the answer area.

Full Access
Question # 7

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Full Access
Question # 8

You plan to develop a bot that will enable users to query a knowledge base by using natural language processing.

Which two services should you include in the solution? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

Language Service

B.

Azure Bot Service

C.

Form Recognizer

D.

Anomaly Detector

Full Access
Question # 9

You have insurance claim reports that are stored as text.

You need to extract key terms from the reports to generate summaries.

Which type of Al workload should you use?

A.

conversational Al

B.

anomaly detection

C.

natural language processing

D.

computer vision

Full Access
Question # 10

Which AI service can you use to interpret the meaning of a user input such as “Call me back later?”

A.

Translator Text

B.

Text Analytics

C.

Speech

D.

Language Understanding (LUIS)

Full Access
Question # 11

You are developing a natural language processing solution in Azure. The solution will analyze customer reviews and determine how positive or negative each review is.

This is an example of which type of natural language processing workload?

A.

language detection

B.

sentiment analysis

C.

key phrase extraction

D.

entity recognition

Full Access
Question # 12

In which two scenarios can you use a speech synthesis solution? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

an automated voice that reads back a credit card number entered into a telephone by using a numeric keypad

B.

generating live captions for a news broadcast

C.

extracting key phrases from the audio recording of a meeting

D.

an Al character in a computer game that speaks audibly to a player

Full Access
Question # 13

You are developing a solution that uses the Text Analytics service.

You need to identify the main talking points in a collection of documents.

Which type of natural language processing should you use?

A.

entity recognition

B.

key phrase extraction

C.

sentiment analysis

D.

language detection

Full Access
Question # 14

You use natural language processing to process text from a Microsoft news story.

You receive the output shown in the following exhibit.

Which type of natural languages processing was performed?

A.

entity recognition

B.

key phrase extraction

C.

sentiment analysis

D.

translation

Full Access
Question # 15

In which two scenarios can you use speech recognition? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

an in-car system that reads text messages aloud

B.

providing closed captions for recorded or live videos

C.

creating an automated public address system for a train station

D.

creating a transcript of a telephone call or meeting

Full Access
Question # 16

Which term is used to describe uploading your own data to customize an Azure OpenAI model?

A.

completion

B.

grounding

C.

fine -tuning

D.

prompt engineering

Full Access
Question # 17

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Full Access
Question # 18

Match the types of natural languages processing workloads to the appropriate scenarios.

To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

Full Access
Question # 19

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Full Access
Question # 20

You need to build an app that will read recipe instructions aloud to support users who have reduced vision.

Which version service should you use?

A.

Text Analytics

B.

Translator Text

C.

Speech

D.

Language Understanding (LUIS)

Full Access
Question # 21

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Full Access
Question # 22

You plan to apply Text Analytics API features to a technical support ticketing system.

Match the Text Analytics API features to the appropriate natural language processing scenarios.

To answer, drag the appropriate feature from the column on the left to its scenario on the right. Each feature may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

Full Access
Question # 23

Match the facial recognition tasks to the appropriate questions.

To answer, drag the appropriate task from the column on the left to its question on the right. Each task may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

Full Access
Question # 24

Match the types of machine learning to the appropriate scenarios.

To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

Full Access
Question # 25

You need to determine the location of cars in an image so that you can estimate the distance between the cars.

Which type of computer vision should you use?

A.

optical character recognition (OCR)

B.

object detection

C.

image classification

D.

face detection

Full Access
Question # 26

You are processing photos of runners in a race.

You need to read the numbers on the runners’ shirts to identity the runners in the photos.

Which type of computer vision should you use?

A.

facial recognition

B.

optical character recognition (OCR)

C.

semantic segmentation

D.

object detection

Full Access
Question # 27

You need to build an image tagging solution for social media that tags images of your friends automatically. Which Azure Cognitive Services service should you use?

A.

Computer Vision

B.

Face

C.

Text Analytics

D.

Form Recognizer

Full Access
Question # 28

You have a database that contains a list of employees and their photos.

You are tagging new photos of the employees.

For each of the following statements select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Full Access
Question # 29

To complete the sentence, select the appropriate option in the answer area.

Full Access
Question # 30

Match the types of computer vision to the appropriate scenarios.

To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

Full Access
Question # 31

You send an image to a Computer Vision API and receive back the annotated image shown in the exhibit.

Which type of computer vision was used?

A.

object detection

B.

semantic segmentation

C.

optical character recognition (OCR)

D.

image classification

Full Access
Question # 32

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Full Access
Question # 33

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Full Access
Question # 34

What are two tasks that can be performed by using computer vision? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Predict stock prices.

B.

Detect brands in an image.

C.

Detect the color scheme in an image

D.

Translate text between languages.

E.

Extract key phrases.

Full Access
Question # 35

You need to develop a mobile app for employees to scan and store their expenses while travelling.

Which type of computer vision should you use?

A.

semantic segmentation

B.

image classification

C.

object detection

D.

optical character recognition (OCR)

Full Access
Question # 36

Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items.

Which type of AI workload should the company use?

A.

anomaly detection

B.

conversational AI

C.

computer vision

D.

natural language processing

Full Access
Question # 37

What are two tasks that can be performed by using the Computer Vision service? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Train a custom image classification model.

B.

Detect faces in an image.

C.

Recognize handwritten text.

D.

Translate the text in an image between languages.

Full Access
Question # 38

In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Extract the invoice number from an invoice.

B.

Translate a form from French to English.

C.

Find image of product in a catalog.

D.

Identity the retailer from a receipt.

Full Access
Question # 39

What is a use case for classification?

A.

predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.

B.

analyzing the contents of images and grouping images that have similar colors

C.

predicting whether someone uses a bicycle to travel to work based on the distance from home to work

D.

predicting how many minutes it will take someone to run a race based on past race times

Full Access
Question # 40

A company employs a team of customer service agents to provide telephone and email support to customers.

The company develops a webchat bot to provide automated answers to common customer queries.

Which business benefit should the company expect as a result of creating the webchat bot solution?

A.

increased sales

B.

a reduced workload for the customer service agents

C.

improved product reliability

Full Access
Question # 41

To complete the sentence, select the appropriate option in the answer area.

Full Access
Question # 42

What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

knowledgeability

B.

decisiveness

C.

inclusiveness

D.

fairness

E.

opinionatedness

F.

reliability and safety

Full Access
Question # 43

You are building an AI system.

Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?

A.

Ensure that all visuals have an associated text that can be read by a screen reader.

B.

Enable autoscaling to ensure that a service scales based on demand.

C.

Provide documentation to help developers debug code.

D.

Ensure that a training dataset is representative of the population.

Full Access
Question # 44

You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments.

This is an example of which Microsoft guiding principle for responsible AI?

A.

fairness

B.

inclusiveness

C.

reliability and safety

D.

accountability

Full Access
Question # 45

To complete the sentence, select the appropriate option in the answer area.

Full Access
Question # 46

You build a machine learning model by using the automated machine learning user interface (UI).

You need to ensure that the model meets the Microsoft transparency principle for responsible AI.

What should you do?

A.

Set Validation type to Auto.

B.

Enable Explain best model.

C.

Set Primary metric to accuracy.

D.

Set Max concurrent iterations to 0.

Full Access
Question # 47

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Full Access
Question # 48

To complete the sentence, select the appropriate option in the answer area.

Full Access
Question # 49

Match the types of AI workloads to the appropriate scenarios.

To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

Full Access
Question # 50

You run a charity event that involves posting photos of people wearing sunglasses on Twitter.

You need to ensure that you only retweet photos that meet the following requirements:

Include one or more faces.

Contain at least one person wearing sunglasses.

What should you use to analyze the images?

A.

the Verify operation in the Face service

B.

the Detect operation in the Face service

C.

the Describe Image operation in the Computer Vision service

D.

the Analyze Image operation in the Computer Vision service

Full Access
Question # 51

For a machine learning progress, how should you split data for training and evaluation?

A.

Use features for training and labels for evaluation.

B.

Randomly split the data into rows for training and rows for evaluation.

C.

Use labels for training and features for evaluation.

D.

Randomly split the data into columns for training and columns for evaluation.

Full Access
Question # 52

Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.

To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

Full Access
Question # 53

Which type of machine learning should you use to identify groups of people who have similar purchasing habits?

A.

classification

B.

regression

C.

clustering

Full Access
Question # 54

To complete the sentence, select the appropriate option in the answer area.

Full Access
Question # 55

Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

dataset

B.

co mpute

C.

pipeline

D.

module

Full Access
Question # 56

Which type of machine learning should you use to predict the number of gift cards that will be sold next month?

A.

classification

B.

regression

C.

clustering

Full Access
Question # 57

To complete the sentence, select the appropriate option in the answer area.

Full Access
Question # 58

To complete the sentence, select the appropriate option in the answer area.

Full Access
Question # 59

Match the types of AI workloads to the appropriate scenarios.

To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

Full Access
Question # 60

Your company is exploring the use of voice recognition technologies in its smart home devices. The company wants to identify any barriers that might unintentionally leave out specific user groups.

This an example of which Microsoft guiding principle for responsible AI?

A.

accountability

B.

fairness

C.

inclusiveness

D.

privacy and security

Full Access
Question # 61

Match the principles of responsible AI to appropriate requirements.

To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

Full Access
Question # 62

Match the machine learning tasks to the appropriate scenarios.

To answer, drag the appropriate task from the column on the left to its scenario on the right. Each task may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

Full Access
Question # 63

To complete the sentence, select the appropriate option in the answer area.

Full Access
Question # 64

You are building an AI-based app.

You need to ensure that the app uses the principles for responsible AI.

Which two principles should you follow? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

Implement an Agile software development methodology

B.

Implement a process of Al model validation as part of the software review process

C.

Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer

D.

Prevent the disclosure of the use of Al-based algorithms for automated decision making

Full Access
Question # 65

You need to create a training dataset and validation dataset from an existing dataset.

Which module in the Azure Machine Learning designer should you use?

A.

Select Columns in Dataset

B.

Add Rows

C.

Split Data

D.

Join Data

Full Access
Question # 66

You are evaluating whether to use a basic workspace or an enterprise workspace in Azure Machine Learning.

What are two tasks that require an enterprise workspace? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Use a graphical user interface (GUI) to run automated machine learning experiments.

B.

Create a compute instance to use as a workstation.

C.

Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.

D.

Create a dataset from a comma-separated value (CSV) file.

Full Access
Question # 67

To complete the sentence, select the appropriate option in the answer area.

Full Access
Question # 68

You need to predict the sea level in meters for the next 10 years.

Which type of machine learning should you use?

A.

classification

B.

regression

C.

clustering

Full Access
Question # 69

A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types.

You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person.

This is an example of which type of machine learning?

A.

clustering

B.

regression

C.

classification

Full Access
Question # 70

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Full Access
Question # 71

You need to predict the income range of a given customer by using the following dataset.

Which two fields should you use as features? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Education Level

B.

Last Name

C.

Age

D.

Income Range

E.

First Name

Full Access
Question # 72

To complete the sentence, select the appropriate option in the answer area.

Full Access
Question # 73

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Full Access
Question # 74

What are two metrics that you can use to evaluate a regression model? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

coefficient of determination (R2)

B.

F1 score

C.

root mean squared error (RMSE)

D.

area under curve (AUC)

E.

balanced accuracy

Full Access
Question # 75

You have a dataset that contains information about taxi journeys that occurred during a given period.

You need to train a model to predict the fare of a taxi journey.

What should you use as a feature?

A.

the number of taxi journeys in the dataset

B.

the trip distance of individual taxi journeys

C.

the fare of individual taxi journeys

D.

the trip ID of individual taxi journeys

Full Access
Question # 76

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Full Access